Automation is Tomorrow! This book is a well-compiled guide to the vast landscape of software automation, at the same time covers the entirety of automation. If you are a student seeking a career path or an individual looking for a midlife career transition, this book presents you with a reference to the automation industry and the lucrative job scenario it has to present in the near future. This book is written with a pro-active approach to reach students and educate them to think about automation as their career. With loads of real-time case studies and self-help initiatives, you will be able to gather a good insight into the role automation plays in our lives and the advances going next.
Automating technologies threaten to usher in a workless future. But this can be a good thing—if we play our cards right. Human obsolescence is imminent. The factories of the future will be dark, staffed by armies of tireless robots. The hospitals of the future will have fewer doctors, depending instead on cloud-based AI to diagnose patients and recommend treatments. The homes of the future will anticipate our wants and needs and provide all the entertainment, food, and distraction we could ever desire. To many, this is a depressing prognosis, an image of civilization replaced by its machines. But what if an automated future is something to be welcomed rather than feared? Work is a source of misery and oppression for most people, so shouldn’t we do what we can to hasten its demise? Automation and Utopia makes the case for a world in which, free from need or want, we can spend our time inventing and playing games and exploring virtual realities that are more deeply engaging and absorbing than any we have experienced before, allowing us to achieve idealized forms of human flourishing. The idea that we should “give up” and retreat to the virtual may seem shocking, even distasteful. But John Danaher urges us to embrace the possibilities of this new existence. The rise of automating technologies presents a utopian moment for humankind, providing both the motive and the means to build a better future.
A consensus-shattering account of automation technologies and their effect on workplaces and the labor market In this consensus-shattering account of automation technologies, Aaron Benanav investigates the economic trends that will shape our working lives far into the future. Silicon Valley titans, politicians, techno-futurists, and social critics have united in arguing that we are on the cusp of an era of rapid technological automation, heralding the end of work as we know it. But does the muchdiscussed “rise of the robots” really explain the long-term decline in the demand for labor? Automation and the Future of Work uncovers the deep weaknesses of twenty-first-century capitalism and the reasons why the engine of economic growth keeps stalling. Equally important, Benanav goes on to salvage from automation discourse its utopian content: the positive vision of a world without work. What social movements, he asks, are required to propel us into post-scarcity if technological innovation alone can’t deliver it? In response to calls for a permanent universal basic income that would maintain a growing army of redundant workers, he offers a groundbreaking counterproposal.
From the Industrial Revolution to the age of artificial intelligence, Carl Benedikt Frey offers a sweeping account of the history of technological progress and how it has radically shifted the distribution of economic and political power among society's members. As the author shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population.These trends broadly mirror those in our current age of automation. But, just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. Benedikt Frey demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present. --From publisher description.
Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.
At the root of inequality, unemployment, and populism are radical changes in the world economy. Digital technology is allowing talented foreigners to telecommute into our workplaces and compete for service and professional jobs. Instant machine translation is melting language barriers, so the ranks of these "tele-migrants" will soon include almost every educated person in the world. Computing power is dissolving humans' monopoly on thinking, enabling AI-trained computers to compete for many of the same white-collar jobs. The combination of globalization and robotics is creating the globotics upheaval, and it threatens the very foundations of the liberal welfare-state. Richard Baldwin, one of the world's leading globalization experts, argues that the inhuman speed of this transformation threatens to overwhelm our capacity to adapt. From computers in the office to automatic ordering systems in restaurants, we are familiar with the how digital technologies offer convenience while also eliminating jobs. Globotics will disrupt the lives of millions of white-collar workers much faster than automation, industrialization, and globalization disrupted the lives of factory workers in previous centuries. The result will be a backlash. Professional, white-collar, and service workers will agitate for a slowing of the unprecedented pace of disruption, as factory workers have done in years past. Baldwin argues that the globotics upheaval will be countered in the short run by "shelter-ism" - government policies that shelter some service jobs from tele-migrants and thinking computers. In the long run, people will work in more human jobs-activities that require real people to use the uniquely human ability of independent thought-and this will strengthen bonds in local communities. Offering effective strategies such as focusing on the social value of work, The Globotics Upheaval will help people prepare for the oncoming wave of an advanced robotic workforce.
The hype and fear, globally, that surrounds service automation, robots and the future of work need to be punctured by in-depth research. This book, by Professors Leslie Willcocks and Mary Lacity, captures a year's worth of learning about service automation based on a survey, in-depth client case studies, and interviews with service automation clients, providers, and advisors. The authors cleverly embed today's empirical lessons into the broader history and context of automation, as a vital key in understanding the fast-rising phenomenon of service automation. The authors give a balanced, informed and compelling view on gaining the many benefits, as well as managing the downsides, of present and future technologies. The book has a number of key selling points: The authors are globally recognised for outstanding, world-class research; the book describes types of automation and gives evidence for multiple business benefits; in-depth case studies are included - from clients, providers and advisors of service automation; 25 key lessons are given, on how to deploy service automation in the workplace and there is a focus on the future of work, including robotic process automation, with valuable predictions and critique.
From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. An expert in computer science and media explains the present and future of a world in which news is created by algorithm. Amid the push for self-driving cars and the roboticization of industrial economies, automation has proven one of the biggest news stories of our time. Yet the wide-scale automation of the news itself has largely escaped attention. In this lively exposé of that rapidly shifting terrain, Nicholas Diakopoulos focuses on the people who tell the stories—increasingly with the help of computer algorithms that are fundamentally changing the creation, dissemination, and reception of the news. Diakopoulos reveals how machine learning and data mining have transformed investigative journalism. Newsbots converse with social media audiences, distributing stories and receiving feedback. Online media has become a platform for A/B testing of content, helping journalists to better understand what moves audiences. Algorithms can even draft certain kinds of stories. These techniques enable media organizations to take advantage of experiments and economies of scale, enhancing the sustainability of the fourth estate. But they also place pressure on editorial decision-making, because they allow journalists to produce more stories, sometimes better ones, but rarely both. Automating the News responds to hype and fears surrounding journalistic algorithms by exploring the human influence embedded in automation. Though the effects of automation are deep, Diakopoulos shows that journalists are at little risk of being displaced. With algorithms at their fingertips, they may work differently and tell different stories than they otherwise would, but their values remain the driving force behind the news. The human–algorithm hybrid thus emerges as the latest embodiment of an age-old tension between commercial imperatives and journalistic principles.
A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
